See Full Dataframe in Mito
|
SK_ID_CURR |
TARGET |
NAME_CONTRACT_TYPE |
CODE_GENDER |
FLAG_OWN_CAR |
FLAG_OWN_REALTY |
CNT_CHILDREN |
AMT_INCOME_TOTAL |
AMT_CREDIT |
AMT_ANNUITY |
... |
FLAG_DOCUMENT_18 |
FLAG_DOCUMENT_19 |
FLAG_DOCUMENT_20 |
FLAG_DOCUMENT_21 |
AMT_REQ_CREDIT_BUREAU_HOUR |
AMT_REQ_CREDIT_BUREAU_DAY |
AMT_REQ_CREDIT_BUREAU_WEEK |
AMT_REQ_CREDIT_BUREAU_MON |
AMT_REQ_CREDIT_BUREAU_QRT |
AMT_REQ_CREDIT_BUREAU_YEAR |
| 0 |
100002 |
1 |
Cash loans |
M |
N |
Y |
0 |
202500.0 |
406597.5 |
24700.5 |
... |
0 |
0 |
0 |
0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
1.0 |
| 1 |
100003 |
0 |
Cash loans |
F |
N |
N |
0 |
270000.0 |
1293502.5 |
35698.5 |
... |
0 |
0 |
0 |
0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
| 2 |
100004 |
0 |
Revolving loans |
M |
Y |
Y |
0 |
67500.0 |
135000.0 |
6750.0 |
... |
0 |
0 |
0 |
0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
| 3 |
100006 |
0 |
Cash loans |
F |
N |
Y |
0 |
135000.0 |
312682.5 |
29686.5 |
... |
0 |
0 |
0 |
0 |
NaN |
NaN |
NaN |
NaN |
NaN |
NaN |
| 4 |
100007 |
0 |
Cash loans |
M |
N |
Y |
0 |
121500.0 |
513000.0 |
21865.5 |
... |
0 |
0 |
0 |
0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |